CinemaScreen recommender agent: Combining collaborative and content-based filtering

被引：166

作者：

Salter, J ^{[1
]}

Antonopoulos, N ^{[1
]}

机构：

[1] Univ Surrey, Dept Comp, Guildford GU2 5XH, Surrey, England

来源：

IEEE INTELLIGENT SYSTEMS | 2006年 / 21卷 / 01期

关键词：

D O I：

10.1109/MIS.2006.4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Directing users to relevant content is increasingly important in today's society with its ever-growing information mass. The recommender systems have become a significant component of e-commerce systems and an interesting application domain for intelligent agent technology. In collaborative filtering, a recommender agent matches a user to other users who have expressed similar preference in the past. A film recommender agent expands and fine-tunes collaborative-filtering results according to filtered content elements.

引用

页码：35 / 41

页数：7

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